Anomalo
Data quality monitoring platform
Data Observability
Commercial
Enterprise Premium
#35 Ranked
Caters to: Enterprise, Fortune 500
Anomalo is a data quality monitoring platform that automatically detects data quality issues and provides root cause analysis to help data teams maintain reliable data.
Key Features
AI Search
Data Lineage
Data Governance
Collaboration
RBAC
PII Detection
Data Quality
Metadata Automation
Version Control
Notable Features
- Automated monitoring
- Root cause analysis
- Data lineage
- Alerting
- Statistical analysis
- Data profiling
Use Cases
Data quality monitoring
Anomaly detection
Data reliability
Incident response
Statistical analysis
What Makes Anomalo Special
Anomalo focuses on automated data quality monitoring with advanced statistical analysis and root cause detection. Its approach helps data teams proactively identify and resolve data issues before they impact business operations.
Integrations
Snowflake
BigQuery
Redshift
dbt
Airflow
Slack
Teams
PagerDuty
Pros & Cons
Pros
- Automated monitoring
- Statistical analysis
- Root cause analysis
- Data lineage
- Alerting
- Data profiling
Cons
- Expensive
- Cloud-only
- Limited customization
- Statistical focus only
Quick Actions